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We consider the problem of automated assignment of papers to reviewers in conference peer review, with a focus on fairness and statistical accuracy.
Does my rebuttal matter? insights from a major nlp conference
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Approximation algorithms for scheduling unrelated parallel machines
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Round-robin scheduling for max-min fairness in data networks
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New light on old boys: Cognitive and institutional particularism in the peer review system
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King, V., Rao, S., and Tarjan, R. (1992) · 1992
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What makes a good reviewer and a good review for a general medical journal?
Black, N., Van Rooyen, S., Godlee, F., Smith, R., and Evans, S. (1998) · 1998
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The conference paper-reviewer assignment problem
Hartvigsen, D., Wei, J. C., and Czuchlewski, R. (1999) · 1999
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Conference paper assignment
Benferhat, S. and Lang, J. (2001) · 2001
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Towards a characterization of truthful combinatorial auctions
Lavi, R., Mu’Alem, A., and Nisan, N. (2003) · 2003
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Entropy, Relative Entropy, and Mutual Information
Cover, T. M. and Thomas, J. A. (2005) · 2005
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Bansal, N. and Sviridenko, M. (2006) · 2006
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A queueing analysis of max-min fairness, proportional fairness and balanced fairness
Bonald, T., Massoulié, L., Proutiere, A., and Virtamo, J. (2006) · 2006
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The AI conference paper assignment problem
Goldsmith, J. and Sloan, R. (2007) · 2007
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Expertise modeling for matching papers with reviewers
Mimno, D. and McCallum, A. (2007) · 2007
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Mapping the bid behavior of conference referees
Rodriguez, M. A., Bollen, J., and Van de Sompel, H. (2007) · 2007
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Karimzadehgan, M., Zhai, C., and Belford, G. (2008) · 2008
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The Toronto Paper Matching System: An automated paper-reviewer assignment system
Charlin, L. and Zemel, R. S. (2013) · 2013
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On good and fair paper-reviewer assignment
Long, C., Wong, R., Peng, Y., and Ye, L. (2013) · 2013
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Max flows in 𝒪 ( n m ) \mathcal{O}(nm) time, or better
Orlin, J. B. (2013) · 2013
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A robust model for paper reviewer assignment
Liu, X., Suel, T., and Memon, N. (2014) · 2014
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By the numbers: Track record, flawed reviews, journal space, and the fate of talented authors
Thorngate, W. and Chowdhury, W. (2014) · 2014
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Is three better than one? Simulating the effect of reviewer selection and behavior on the quality and efficiency of peer review
Bianchi, F. and Squazzoni, F. (2015) · 2015
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An algorithm to determine peer-reviewers
Rodriguez, M. A. and Bollen, J. (2008) · 2008
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On the optimal assignment of conference papers to reviewers
Taylor, C. J. (2008) · 2008
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How professors think
Lamont, M. (2009) · 2009
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An approximation algorithm for max-min fair allocation of indivisible goods
Asadpour, A. and Saberi, A. (2010) · 2010
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Novel tools to streamline the conference review process: Experiences from SIGKDD’09
Flach, P. A., Spiegler, S., Golénia, B., Price, S., Guiver, J., Herbrich, R., Graepel, T., and Zaki, M. J. (2010) · 2010
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Assigning papers to referees
Garg, N., Kavitha, T., Kumar, A., Mehlhorn, K., and Mestre, J. (2010) · 2010
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Context-aware reviewer assignment for trust enhanced peer review
Li, L., Wang, Y., Liu, G., Wang, M., and Wu, X. (2015) · 2015
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Simple, robust and optimal ranking from pairwise comparisons
Shah, N. B. and Wainwright, M. J. (2015) · 2015
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Peer review and competition in the art exhibition game
Balietti, S., Goldstone, R. L., and Helbing, D. (2016) · 2016
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Peer grading in a course on algorithms and data structures: Machine learning algorithms do not improve over simple baselines
Sajjadi, M. S., Alamgir, M., and von Luxburg, U. (2016) · 2016
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Design and analysis of the NIPS 2016 review process
Shah, N. B., Tabibian, B., Muandet, K., Guyon, I., and von Luxburg, U. (2017) · 2016
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The NIPS Experiment
Lawrence, N. and Cortes, C. (2014) · 2017
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Reviewer bias in single-versus double-blind peer review
Tomkins, A., Zhang, M., and Heavlin, W. D. (2017) · 2017
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Expert suggestion for conference program committees
Tran, H. D., Cabanac, G., and Hubert, G. (2017) · 2017
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ICML acceptance statistics
Langford, J. (2012) · 2018
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Noothigattu, R., Shah, N., and Procaccia, A. (2018) · 2018
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A SUPER* algorithm to optimize paper bidding in peer review
Fiez, T., Shah, N., and Ratliff, L. (2019) · 2019
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A Bayesian model for calibrating conference review scores
Ge, H., Welling, M., and Ghahramani, Z. (2013) · 2019
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Paper matching with local fairness constraints
Kobren, A., Saha, B., and McCallum, A. (2019) · 2019
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Your 2 is my 1, your 3 is my 9: Handling arbitrary miscalibrations in ratings
Wang, J. and Shah, N. B. (2019) · 2019
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